Kolloquiumsvortrag (ETI/IT), Prof. Claus Hilgetag, UK Eppendorf, / am 09.04.2018

09.04.2018 von 17:15 bis 18:00

Institute Ostufer, Geb. D, "Aquarium", Kaiserstr. 2, 24143 Kiel

Titel:  A simple excitable model reveals how brain network topology shapes neural activity patterns

Abstract: Brain networks are characterized by a number of distinctive topological features, such as a
heterogenous degree distribution with hubs, hierarchically organized modules, as well as a
characteristic spectrum of motifs and cycles. These features have consequences for various aspects
of brain dynamics, such as self‐sustained network activity, the wave‐like propagation of activations as
well as correlations and anti‐correlations of activity patterns. In a series of recent studies we have
demonstrated that the relation between neural network topology and dynamics can be
systematically investigated with the help of a simple, but powerful excitable (cellular automaton)
model which facilitates a mechanistic understanding of the contributions of different topological
features of brain networks to brain dynamics.

Prof. Kohlstedt

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